A congestion control method and an apparatus are disclosed. The method includes: after a sending device generates an unscheduled data packet of a first flow, if it is determined, based on an unscheduled packet send window shared by all flows, that the unscheduled data packet meets a sending condition, determining whether to request to add a quota for at least one of the unscheduled packet send window and a scheduled packet send window corresponding to the first flow; and if it is determined that the quota is requested to be added for the at least one of the unscheduled packet send window and the scheduled packet send window corresponding to the first flow, setting indication information in the unscheduled data packet, and sending, to a receiving device, the unscheduled data packet in which the indication information is set.

A bandwidth control method, apparatus, and a device, in the field of computer technologies includes determining an upper bandwidth limit of the device when providing a service for registered clients, resetting an upper bandwidth limit of each client based on a working status of each client and the upper bandwidth limit of the device, and reallocating a bandwidth to each client based on the upper bandwidth limit of each client.

A method of processing packets propagated over a packet switched communications network having a control plane, user plane, and a plurality of probes, the method comprising: receiving at least one control plane packet associated with creating at least one user session in the network; selecting a set of user sessions from the at least one user session; determining at least one target feature that characterizes packets propagated over the network; and load balancing all packets sharing the at least one target feature that belong to a same user session of the set of user sessions to a same probe of the plurality of probes for processing by the probe.

A method of communication in a vehicle network is provided. An example method includes transmitting a network allocation map in a TDMA cycle, indicating reservation of time slots in the TDMA cycle. The method further includes transmitting a synchronization signal in the TDMA cycle, to synchronize the timing of nodes in the vehicle network. Each of the reserved time slots is identified by at least a network ID of a transmitting node in the vehicle network, and a slot type comprising one of a low latency traffic slot, and a bulk traffic slot. Further, the low latency traffic slots are repeated in the TDMA cycle at least as frequently as a guaranteed QoS latency parameter. Further, the bulk traffic slots are at least as long as a guaranteed QoS throughput parameter.

Systems are methods are described for predicting and forecasting a resource utilization on network device, particularly for handling multicast flows, by monitoring past resource consumption patterns. A system can include a plurality of multicast clients coupled to a network; and a network device coupled to the network. The network device may be a switch or a router that directs multicast traffic to the plurality of multicast clients. The network device can include a flow prediction controller that determines one or more real-time predictions relating to a demand of the network based on an analysis of an artificial intelligence (AI) forecasting model, such as an Autoregressive Integrated Moving Average (ARIMA) model. Also, the network device can include a resource optimizer that performs a resource management action that optimizes the resources of the network device based on the one or more real-time predictions of the demand of the network and a policy.

Some embodiments provide policy-driven methods for deploying edge forwarding elements in a public or private SDDC for tenants or applications. For instance, the method of some embodiments allows administrators to create different traffic groups for different applications and/or tenants, deploys edge forwarding elements for the different traffic groups, and configures forwarding elements in the SDDC to direct data message flows of the applications and/or tenants through the edge forwarding elements deployed for them. The policy-driven method of some embodiments also dynamically deploys edge forwarding elements in the SDDC for applications and/or tenants after detecting the need for the edge forwarding elements based on monitored traffic flow conditions.

Core network slices that belong to a given operator community are efficiently tracked at the network control/user plane functions level, with rich data analytics in real-time based on their geographic instantiations. In one aspect, an enhanced vendor agnostic orchestration mechanism is utilized to connect a unified management layer with an integrated slice-components data analytics engine (SDAE), a slice performance engine (SPE), and a network slice selection function (NSSF) in a closed-loop feedback system with the serving network functions of one or more core network slices. The tight-knit orchestration mechanism provides economies of scale to mobile carriers in optimal deployment and utilization of their critical core network resources while serving their customers with superior quality.

A system and method for automatically scaling consumer servers in a data processing system. To build an automatic scaling system, the present disclosure allows consumers to obtain additional information, e.g., the number of events that await to be read from an aggregator when receiving an event from the aggregator. This additionally obtained number provides a direct gauge for the data processing system to determine when the consumers are over-provisioned, i.e., when the number of events left to be read is close to zero, as well as when the consumers are under-provisioned, e.g., when the number of events left to be read continues to increase. As a result, the consumers can be automatically scaled to handle the dynamic data processing demand while providing optimal resource allocation.

Techniques for load balancing communication sessions in a networked computing environment are described herein. The techniques may include establishing a first communication session between a client device and a first computing resource of a networked computing environment. Additionally, the techniques may include storing, in a data store, data indicating that the first communication session is associated with the first computing resource. The techniques may further include receiving, at a second computing resource of the networked computing environment, traffic associated with a second communication session that was sent by the client device, and based at least in part on accessing the data stored in the data store, establishing a traffic redirect such that the traffic and additional traffic associated with the second communication session is sent from the second computing resource to the first computing resource.

Device Assisted Services (DAS) for protecting network capacity is provided. In some embodiments, DAS for protecting network capacity includes monitoring a network service usage activity of the communications device in network communication; classifying the network service usage activity for differential network access control for protecting network capacity; and associating the network service usage activity with a network service usage control policy based on a classification of the network service usage activity to facilitate differential network access control for protecting network capacity.